# Gemini: Exp 1206 API

Google's Gemini: Exp 1206, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send gemini-exp-1206 as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

## Facts

- Model name: gemini-exp-1206
- Maker: Google
- Context window: 200K tokens
- Input price: $1.258 per million tokens
- Output price: $10.000 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $1.258 input and $10.000 output per million tokens, $0.629 cache read per million tokens, 200K tokens of context

## Request

```sh
curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-exp-1206",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Gemini: Exp 1206?

Gemini: Exp 1206 is a model from Google.

### How much does Gemini: Exp 1206 cost?

Offers now ask $1.258 per million input tokens and $10.000 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.

### What is the context length of Gemini: Exp 1206?

The largest offer takes 200,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Gemini: Exp 1206 do?

Its providers list Audio input, Vision, Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.

### What inputs and outputs does Gemini: Exp 1206 support?

Text · Audio · Images → Text.

### Which providers serve Gemini: Exp 1206?

1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.

### How do I call Gemini: Exp 1206?

Send "gemini-exp-1206" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Gemini: Exp 1206 listed?

The exchange first listed it on 10/5/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/gemini-exp-1206)
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- [Set up a client](https://liquidinference.ai/connect/gemini-exp-1206)
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